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The use of e-wallets is increasing in Indonesia, especially during the Covid-19 pandemic. The most popular digital wallets in Indonesia, such as Go-Pay, OVO, ShopeePay, Dana, and LinkAja, have adapted the mobile banking system, making it easy for users to download the app through the Play Store or App Store. According to Insight Asia, DANA is ranked third in terms of number of users after Gopay and OVO, with 221 respondents from major Indonesian cities. As an e-wallet platform created by PT Espay Debit Indonesi Koe Indonesia in 2018, DANA, as a local company, attracts people's interest and has become a popular choice. This study aims to identify the relationship and influence between Perceived Usefulness and Perceived Ease of Use on Decision to Use E-wallet, especially DANA, with Intention to Use E-wallet as an intervention variable. Through regression tests, the research findings show that Perceived Usefulness and Perceived Ease of Use have a positive and significant effect on Intention to Use DANA, and Intention to Use DANA has a significant effect on Decision to Use DANA. Intention to Use E-wallet mediates the relationship between Perceived Usefulness and Perceived Ease of Use with Decision to Use DANA. This result is obtained by looking at the results of statistical processing, where the p-value <0.005. These findings imply that the perceived usefulness and ease of use of the DANA application has the potential to encourage user interest in using e-wallets, which in turn can influence users' decisions to adopt DANA as an electronic payment method.

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition

Transparent, accountable, and efficient regional financial management is a key responsibility in ensuring good governance. One of the government’s efforts to realize this is through the implementation of an accounting information system known as the Regional Government Information System SIPD, which plays a critical role in planning, budgeting, and financial reporting within local governments. However, the success of SIPD implementation depends not only on the quality of the system itself, but also on the level of user acceptance and usage. This study aims to examine the influence of perceived usefulness, perceived ease of use, and trust on the acceptance of SIPD use at the Regional Financial and Asset Management Agency BPKAD of Karangasem Regency. The sample was determined using non-probability purposive sampling, with 36 employees who use SIPD as respondents. Data analysis was conducted using multiple linear regression analysis. The results indicate that perceived usefulness, perceived ease of use, and trust have a positive effect on SIPD acceptance. This suggests that when the system is perceived to improve performance, productivity, and effectiveness; simplify tasks; be easy to use, understand, and learn; enhance user skills; be trustworthy; and provide security and protection, user interest, satisfaction, and usage frequency will increase. Theoretically, this study supports the Technology Acceptance Model TAM in explaining the influence of perceived usefulness, perceived ease of use, and trust on SIPD acceptance. Practically, the findings can be used as input and evaluation material for further SIPD development.

Digital applications in the cultural tourism sector require effective interface design to improve user convenience and satisfaction. This study focuses on developing a user interface (UI) design that is intuitive and easily accessible to domestic and international tourists. Through user-based research methods and prototype testing, this study formulates design elements that can facilitate navigation and access to cultural information. The findings show that user-friendly UI design can improve user interest and experience in exploring Indonesian cultural heritage.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.